William D. Matthews

834 total citations
41 papers, 639 citations indexed

About

William D. Matthews is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, William D. Matthews has authored 41 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in William D. Matthews's work include Receptor Mechanisms and Signaling (19 papers), Neuroscience and Neuropharmacology Research (12 papers) and Ion channel regulation and function (8 papers). William D. Matthews is often cited by papers focused on Receptor Mechanisms and Signaling (19 papers), Neuroscience and Neuropharmacology Research (12 papers) and Ion channel regulation and function (8 papers). William D. Matthews collaborates with scholars based in United States, United Kingdom and Netherlands. William D. Matthews's co-authors include Kam F. Jim, Robert M. DeMarinis, Cynthia D. Smith, J. Paul Hieble, Gerald P. McCafferty, Peter J. Bugelski, W. J. Gonyea, L B Cieslinski, Barbara L. Storer and Nicholas W. DiTullio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Medicine & Science in Sports & Exercise.

In The Last Decade

William D. Matthews

41 papers receiving 582 citations

Peers

William D. Matthews
Comparison fields: 5 of 92
  • Molecular Biology 359
  • Cellular and Molecular Neuroscience 260
  • Physiology 146
  • Cardiology and Cardiovascular Medicine 76
  • Organic Chemistry 60
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Citations per field, relative to William D. Matthews
William D. Matthews · 1×
Citations per year, relative to William D. Matthews
William D. Matthews · 1×

Countries citing papers authored by William D. Matthews

Since Specialization
Citations

This map shows the geographic impact of William D. Matthews's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William D. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Matthews more than expected).

Fields of papers citing papers by William D. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Matthews. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William D. Matthews. The network helps show where William D. Matthews may publish in the future.

Co-authorship network of co-authors of William D. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Matthews. A scholar is included among the top collaborators of William D. Matthews based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William D. Matthews. William D. Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 4
3 2
4 57
5 16
6 7
7 8
8 6
9 1
10
Characterization of the antihypertensive activity of SK&F 86466, a selective alpha-2 antagonist, in the rat.
21
11 1
12 38
13 7
14 25
15 12
16 50
17 2
18 13
19 8
20 11

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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